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X Demographics
Mendeley readers
| Title |
Using Electronic Medical Record Data to Improve HIV Patient Monitoring, Clinical Decision-Making, and Quality Improvement: Lessons from Rwanda.
|
|---|---|
| Pubmed ID | |
| Authors |
Nadine Karema, Anatole Manzi, Erick Gaju, Michèle Kayiganwa, Eric Remera, Alphonse Nshimyiryo, Gad Niyibizi, Adeline Dukuze, Neil Gupta, Cheryl Amoroso |
| Abstract |
In developing countries, clinical guidelines and patient follow-up are primarily paper-based. We describe the use of Electronic Medical Record data for evidence-based clinical decisions and improved HIV patients monitoring in rural Rwanda. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Master | 6 | 16% |
| Other | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 21% |
| Nursing and Health Professions | 6 | 16% |
| Arts and Humanities | 3 | 8% |
| Social Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 13 | 34% |